Planning system and planning method
Abstract
A system in one aspect of the present disclosure calculates prediction values related to multiple sites. Based on the prediction values, there is generated a touring plan in which a touring person tours two or more sites as touring destinations corresponding to at least some of the multiple sites and an outcome expected to be brought from touring satisfies a specific condition. The outcome includes an outcome to be brought from an activity of the touring person in each destination. As the touring plan, there can be generated a touring plan showing at least one of a touring order or a touring time for the two or more sites. Information on the touring plan generated is output.
Claims
exact text as granted — not AI-modified1 . A planning system comprising:
a predictor configured to calculate prediction values related to multiple sites; a generator configured to generate a touring plan based on the prediction values, the touring plan being a plan for a touring person to tour two or more sites as touring destinations corresponding to at least some of the multiple sites, and the touring plan being a plan in which an outcome to be expected from touring satisfies a specific condition; and an outputter configured to output information on the touring plan generated, wherein the outcome includes an outcome to result from an activity of the touring person in each touring destination of the touring destinations, and wherein the generator generates, as the touring plan, a touring plan showing at least one of a touring order or a touring time for the two or more sites.
2 . The planning system according to claim 1 ,
wherein at least one site of the multiple sites is a distribution hub for products, and wherein the prediction values include at least one of a prediction value of a parameter related to distribution of the products in the distribution hub or a prediction value of a parameter related to a distribution operator.
3 . The planning system according to claim 1 ,
wherein the outcome varies depending on a state of the each touring destination, and wherein the prediction values include a prediction value related to the state of each site of the multiple sites at each time point of multiple time points.
4 . The planning system according to claim 3 ,
wherein the generator generates the touring plan based on an individual outcome value for every combination of a site and a time point, the individual outcome value being calculated based on the prediction values, and wherein the individual outcome value represents an amount of the outcome to be expected from the activity of the touring person at a corresponding site and a corresponding time point.
5 . The planning system according to claim 3 ,
wherein the predictor is configured to:
collect a performance value of a parameter related to the state; and
calculate the prediction values based on the performance value collected.
6 . The planning system according to claim 3 ,
wherein at least one site of the multiple sites is a business hub of a business operator, and wherein the prediction values include, for the each time point, a prediction value related to a reception environment of the business operator when the touring person visits the business hub at the corresponding time point.
7 . The planning system according to claim 6 ,
wherein the prediction value related to the reception environment includes a prediction value related to an event in which the salesperson succeeds a meeting with a person with a specific attribute in the business operator when the touring person visits the business hub at the corresponding time point.
8 . The planning system according to claim 6 ,
wherein the predictor collects report data showing report details related to the reception environment from the touring person, and calculates, as the prediction value related to the reception environment, based on the report data, a value representing a degree of possibility that the business operator is in a specific reception environment at the corresponding time point.
9 . The planning system according to claim 7 ,
wherein the predictor collects report data showing report details, from the touring person, related to success or failure of the meeting with the person with the specific attribute, and calculates, as the prediction value related to the event, based on the report data collected, a value representing a degree of possibility that the touring person succeeds the meeting with the person with the specific attribute when the touring person visits the business hub at the corresponding time point.
10 . The planning system according to claim 3 ,
wherein the activity of the touring person includes multiple types of activities that are performable in a corresponding site to the each touring destination, wherein the touring plan further shows a type of activity to be performed by the touring person in the corresponding site to the each touring destination, and wherein the generator generates the touring plan based on an outcome to be expected for every combination of a site, the time point, and/or the type of activity.
11 . The planning system according to claim 1 ,
wherein the outcome includes an outcome to result from the activity of the touring person in the each touring destination, the outcome varying depending on a state of the each touring destination, and the activity of the touring person including multiple types of activities that are performable in a corresponding site to the each touring destination, wherein the touring plan is a touring plan showing the touring order and the touring time for the two or more sites, wherein the prediction values include a prediction value related to the state of each site of the multiple sites at each time point of multiple time points, wherein at least one site of the multiple sites is a business hub of a business operator, wherein the predictor collects report data related to a reception environment of the business operator, and calculates, as a prediction value related to the state of the business hub, based on the report data, a value representing a degree of possibility that the business operator is in a specific reception environment when the touring person visits the business hub at a corresponding time point, wherein the generator generates, as the touring plan to be output from the outputter, a touring plan having an overall outcome value maximized or one or more touring plans having the overall outcome value equal to or greater than a standard when an individual outcome value is calculated for every combination of a site and a time point based on the prediction values, wherein the individual outcome value is an outcome to be expected when the touring person performs one type of activity of the multiple types of activities in the corresponding site at the corresponding time point, wherein the overall outcome value is calculated based on individual outcome values, each of which is based on the touring time and the one type of activity for a corresponding site of the two or more sites corresponding to the touring destinations; and wherein the overall outcome value is calculated by integrating the individual outcome values corresponding to the outcomes to be expected from the touring for the respective two or more sites when the touring is performed for the each site of the two or more sites in accordance with the touring plan and an activity of a type conforming to the touring plan is performed in the each site.
12 . The planning system according to claim 3 ,
wherein the activity of the touring person includes an activity related to at least one of selling products or providing services.
13 . The planning system according to claim 12 ,
wherein the activity of the touring person includes activities related to two or more types of products and/or two or more types of services as the activity related to the at least one of the selling of the products or the providing of the services, and wherein the touring plan further shows a type of product and/or a type of service to be targeted by the touring person in the activity in the corresponding site to the each touring destination.
14 . The planning system according to claim 12 ,
wherein the outcome is expressed as a performance evaluation indicator related to the at least one of the selling of the products or the providing of the services.
15 . The planning system according to claim 12 ,
wherein the activity of the touring person includes arranging a display shelf displaying the products, wherein the state includes a state of the display shelf in the corresponding site, and wherein the predictor calculates, as the prediction value related to the state at the each time point, a prediction value related to the state of the display shelf at the corresponding time point based on a state of the display shelf in the past.
16 . The planning system according to claim 12 ,
wherein the at least one site of the multiple sites includes a site to perform, for customers, the at least one of the selling of the products or the providing of the services, wherein the state includes a visit number of the customers of the corresponding site, wherein the predictor calculates a prediction value related to the visit number of the corresponding site, and wherein the generator generates the touring plan based on the prediction value related to the visit number.
17 . The planning system according to claim 1 ,
wherein the generator generates the touring plan conforming to a restriction condition predetermined in relation to behavior of the touring person, and wherein the restriction condition includes at least one of:
a restriction condition related to at least one of a touring start time or a touring end time of the touring person;
a restriction condition related to at least one of a travelling time or a traveling distance of the touring person;
a restriction condition related to travelling means of the touring person; or
a restriction condition related to at least one of the number of touring or a touring time to one or more site of the multiple sites.
18 . A computer-implemented planning method comprising:
calculating prediction values related to multiple sites; generating a touring plan based on the prediction values, the touring plan being a plan for a touring person to tour two or more sites as touring destinations corresponding to at least some of the multiple sites, and the touring plan being a plan in which an outcome to be expected from touring satisfies a specific condition; and outputting information on the touring plan generated, the outcome including an outcome to result from an activity of the touring person in each touring destination of the touring destinations, and the generating including generating, as the touring plan, a touring plan showing at least one of a touring order or a touring time for the two or more sites.
19 . A computer-implemented planning method comprising:
calculating prediction values related to multiple sites; generating a touring plan based on an outcome to be expected from touring, the touring plan being a plan for a touring person to tour two or more sites as touring destinations corresponding to at least some of the multiple sites; and outputting information on the touring plan generated, wherein the outcome includes an outcome to result from an activity of the touring person in each touring destination, the outcome varying depending on a state of the each touring destination, and the activity of the touring person including multiple types of activities that are performable in a corresponding site to the each touring destination of the touring destinations, wherein the touring plan is a touring plan showing a touring order and a touring time for the two or more sites, wherein the prediction values include a prediction value related to the state of each site of the multiple sites at each time point of multiple time points, wherein at least one site of the multiple sites is a business hub of a business operator, wherein the calculating of the prediction values includes:
collecting report data related to a reception environment of the business operator; and
based on the report data, calculating, as a prediction value related to the state of the business hub, a value representing a degree of possibility that the business operator is in a specific reception environment when the touring person visits the business hub at a corresponding time point,
wherein the generating includes generating, as the touring plan to be output, a touring plan having an overall outcome value maximized or one or more touring plans having the overall outcome value equal to or greater than a standard when an individual outcome value is calculated for every combination of a site and a time point based on the prediction values, wherein the individual outcome value is an outcome to be expected when the touring person performs one type of activity of the multiple types of activities in the corresponding site at the corresponding time point, wherein the overall outcome value is calculated based on individual outcome values, each of which is based on the touring time and the one type of activity for a corresponding site of the two or more sites corresponding to the touring destinations, and wherein the overall outcome value is calculated by integrating the individual outcome values corresponding to the outcomes to be expected from the touring for the respective two or more sites when the touring is performed for the each site of the two or more sites in accordance with the touring plan and an activity of a type conforming to the touring plan is performed in the each site.
20 . The method to generate a plan according to claim 19 ,
wherein the report data includes report data related to success or failure of a meeting with a person with a specific attribute in the business operator, and wherein the calculating of the prediction values includes calculating, as the value representing the degree of possibility that the business operator is in the specific reception environment, based on the report data, a value representing a degree of possibility that the touring person succeeds the meeting with the person with the specific attribute when the salesperson visits the business hub at the corresponding time point.
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